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My name is Kary S. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: CI/CD, MySQL, MongoDB, RESTful API, Python, etc.. I hold a degree in Master of Computer Science (MSCS), Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Face mask detection, Musical Instrument Classification, Fast API and RabbitMQ, Meditation. I am based in Scarborough, Canada. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
Main technologies
Python, SQL and Cloud Platforms
5 years
CI/CD
3 Years
MySQL
4 Years
MongoDB
3 Years
Additional skills
Direct hire
Potentially possible
Previous Company
IBM Canada
Experience Highlights
Face mask detection
🤖🚀 Elevating My AI Skills: Mask Detection Project Deployed on AWS 🌐 I'm thrilled to share a project I've been working on, which truly showcases the power of AI and my passion for technology. 🤖💼 In a world driven by innovation and automation, I embarked on a personal project to demonstrate my AI expertise. I've successfully developed an AI system capable of detecting three types of masks - surgical masks, cloth masks, and N-95 masks. Furthermore, it's equipped to identify if a mask is worn incorrectly or if someone isn't wearing a mask at all. 🕵️♂️👨🔬 The exciting part? This project is entirely my own creation. It's about pushing the boundaries of what's possible with AI and showing that technology can be applied in diverse ways. But that's not all! I've taken this project to the next level by deploying it on AWS (Amazon Web Services), harnessing the power of cloud computing for scalability and accessibility. This not only demonstrates my AI skills but also my proficiency in cloud computing. 🚀☁️ Here's a glimpse of what I've achieved: 🔍 **Mask Detection**: My AI can accurately distinguish between surgical masks, cloth masks, and N-95 masks. 🚫 **Incorrect Mask Detection**: It goes beyond detection and identifies when masks are worn improperly, promoting safety. ❌ **No Mask Detection**: The system can even recognize instances where no mask is worn, enhancing compliance with safety guidelines. This project is a testament to my commitment to technology and my drive to explore new horizons in AI. It's a personal endeavor that's close to my heart, and I'm excited to share it with the world. 🌍🤩 If you're interested in learning more about this project, have any questions, or want to discuss potential collaborations, feel free to reach out to me. Together, we can continue to explore the limitless possibilities of AI and cloud computing. 🤝🌟
Musical Instrument Classification
• Trained and evaluated 3 machine learning models, including Attention, Bi-direction RNN, and MLP, achieving a maximum accuracy of 87% on classifying musical instruments. • Implemented the Conv-Next model based on Facebook’s research paper to improve accuracy in musical instrument classification, resulting in 89% accuracy. • Tested the Conv-Next model on real data feed from YouTube for final evaluation and deployed in the later phase.
Fast API and RabbitMQ
This project was related to open-source API. These APIS were providing updates once in 24 hours. After that those results were stored on the RabbitMQ server. In the next phase, our Fast APIs gave that same to customers so we don't end up calling those Open-API again and again.
Meditation
This was project for US based client. I had designed UI using Figma for this mobile app.
Education
Concordia University, Montreal (Canada)
Master of Computer Science (MSCS) in Applied Computer Science
2021-01-01-2023-01-01
Gujarat Technological University
Bachelor of Engineering (BEng) in Computer engineering
2017-01-01-2020-01-01
Languages
- English
- Gujarati
- Hindi
Stackoverflow